For me the phrase "Computer Science" is considered harmful. They call us "software engineers", but people see "science" as having a higher social status than "engineering".
Part of "computer science" is about particular accidents in how we build computers, such as CMOS logic or the 8-bit byte or the bizzare ways that C overloads keywords, but there is another part of it which is universal. There is intelligent life all over the universe that lives under the ice on moons of gas giant planets and if they have built computers they know the results of Alan Turing and Kurt Gödel under some other name. They know that you can't sort a list with fewer than O(N ln N) comparisons.
It's important not to get so full of yourself that you look down on the work you are doing. I see the word "science" in data science being corrupting because many "data scientists" think they are too good to practice software engineering, to put effort into repeatable builds. They could put their work on wheels if they built a script that could reliably build a machine learning model or generate the monthly sales report every month but many of them seem to think they are too good to do that and it diminishes the value they give to the organization.
Organizations too don't see the value that "computer science" could give to an organization. I worked for a web consulting shop that was in crisis particularly because it had invested in a proprietary programming language that was no longer being supported. They probably could have hired a graduate fresh out of school who'd just taken a compiler class and built a transpiler that would compile it to P.H.P. or some open language, but management didn't know that, didn't believe that, and now it is too late.
